Public transport is one of the main infrastructures of a sustainable city. For this reason, there are many studies on public transportation which mostly answer the question of “when my next bus will arrive?”. However now when the public is under the restrictions of the Covid-19 pandemic and learning to live with new social rules such as “social distance” a new yet crucial question arise on public transportation: “how crowded my next bus will be?” To prevent the crowdedness in public transportation the traffic regulators need to forecast the number of passengers the day ahead. In this study, in cooperation with Synteda, we suggest a machine learning algorithm that forecasts the occupancy in a bus or tram the day ahead for each stop for a route. The input data is past passenger travel data provided by the Västtrafik AB which is the public transportation company in Gothenburg, Sweden. The hourly data for the precipitation and temperature also has been added to the forecasting method; the database of precipitation and temperature is obtained by the SMHI, Swedish Meteorological and Hydrological Institute.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    The Day-Ahead Forecasting of the Passenger Occupancy in Public Transportation by Using Machine Learning


    Additional title:

    Lect.Notes Social.Inform.



    Conference:

    International Conference on Intelligent Transport Systems ; 2021 November 24, 2021 - November 26, 2021



    Publication date :

    2022-03-12


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    The Day-Ahead Forecasting of the Passenger Occupancy in Public Transportation by Using Machine Learning

    Altintas, Atilla / Davidson, Lars / Kostaras, Giannis et al. | TIBKAT | 2022


    Predicting passenger satisfaction in public transportation using machine learning models

    Ruiz, Elkin / Yushimito, Wilfredo F. / Aburto, Luis et al. | Elsevier | 2024


    Method of Passenger Occupancy Detection using Interconnecting Sensor and Passenger Occupancy Detection System thereof

    GA HAN SEON / JO JOON SANG / LEE JOUNG HEE et al. | European Patent Office | 2019

    Free access

    Passenger occupancy identification system

    GRANT ZEPH | European Patent Office | 2016

    Free access

    Passenger occupancy identification system

    GRANT ZEPH | European Patent Office | 2019

    Free access